Dataset · Hugging Face

appliedscientific/vcbench-embeddings

Name: vcbench-embeddings
Creator: appliedscientific
License: mit
Keywords: task_categories:feature-extraction, source_datasets:norman-2019-k562, source_datasets:replogle-2022, source_datasets:cellxgene-census-may-2023, source_datasets:weinreb-larry, source_datasets:sci-fate, source_datasets:neurips-2021-citeseq, source_datasets:beeline-hesc, source_datasets:beeline-hhep, language:en, license:mit, size_categories:100K<n<1M, region:us, single-cell, foundation-model-embeddings

VCBench v1.0 — Foundation Model Embeddings This dataset bundles every cell- and gene-embedding tensor produced by the five foundation models evaluated in VCBench v1.0 (a capability-stratified benchmark for single-cell foundation models, VCBench contributors 2026) across the five benchmark dimensions, plus the matching baseline embeddings. Why this exists The downstream evaluators in VCBench (per-dimension metrics, statistical tests, cross-model comparisons) all… See the full description on the dataset page: https://huggingface.co/datasets/appliedscientific/vcbench-embeddings.

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Author / organization	appliedscientific
License (as declared)	mit
Downloads	199 (as reported by Hugging Face)
Likes	0
Created	15 April 2026
Last updated at source	18 June 2026

single-cellfoundation-model-embeddingsvcbenchbenchmarkcrispr-perturbationcross-species-cell-typinggene-regulatory-networkcross-modal-rna-proteintemporal-orderingcellxgene-census

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